Basic Visual Language Model
For the Chinese version of the README, please refer to 中文文档.
Source du modèle
- Type
- Other
- Taille du fichier
- 41,0–728 MB
- Version
- vRevision a6334e8
- Mis à jour
- 16 oct. 2026
- Téléchargements
- 0
- Source
- Hugging Face
Description de la source
Building Your Own Multimodal Large Model from Scratch
For the Chinese version of the README, please refer to 中文文档.
Model Architecture 🤖
In the VLM (Visual Language Model), the visual component utilizes the CLIP or SIGLIP models, which have already achieved preliminary semantic alignment. A two-layer MLP is used for feature mapping. By overriding the forward method of the QWenModel, the corresponding image tokens are replaced with visual features.
GitHub Repository 🏠
The code for running the model can be found at Basic-Visual-Language-Model.
References 📚
Special thanks to the following projects for their great work 🙌:
- https://github.com/WatchTower-Liu/VLM-learning/tree/main
- https://github.com/QwenLM/Qwen
- https://github.com/haotian-liu/LLaVA
Contact ✉
If you have any questions or ideas, feel free to reach out to me 😊:
I will respond as soon as I see your email!
Sources
1 source
Sources
1 sourceVérifié 28 août
Artefacts du modèle
4 artefacts
Artefacts du modèle
4 artefactscheckpoint-19000/checkpoint-19000/adapter_model.bin
bin · 728 MB · SHA-256 d0b0d273c5dc…8ee2 · Hugging Face
Téléchargercheckpoint-19000/checkpoint-19000/other_params.bin
bin · 41,0 MB · SHA-256 7db2025e8322…d821 · Hugging Face
Téléchargercheckpoint-36000/checkpoint-36000/adapter_model.bin
bin · 728 MB · SHA-256 bab67b05b624…335c · Hugging Face
Téléchargercheckpoint-36000/checkpoint-36000/other_params.bin
bin · 41,0 MB · SHA-256 620d634331b2…3cea · Hugging Face
TéléchargerExtraits de sources
2 extraits
Extraits de sources
2 extraits--- license: apache-2.0 pipeline_tag: visual-question-answering --- # Building Your Own Multimodal Large Model from Scratch For the Chinese version of the README, please refer to [中文文档](README_zh.md). ## Model Architecture 🤖 In the VLM (Visual Language Model), the visual component utilizes the `CLIP` or `SIGLIP` models, which have already achieved preliminary semantic alignment. A two-layer MLP is used for feature mapping. By overriding the `forward` method of the `QWenModel`, the corresponding `image` tokens are replaced with visual features. ## GitHub Repository 🏠 The code for running the model can be found at [Basic-Visual-Language-Model](https://github.com/xinyanghuang7/Basic-Visual-Language-Model/tree/main). ## References 📚 Special thanks to the following projects for their great work 🙌: - https://github.com/WatchTower-Liu/VLM-learning/tree/main - https://github.com/QwenLM/Qwen - https://github.com/haotian-liu/LLaVA ## Contact ✉ If you have any questions or ideas, feel free to reach out to me 😊: [email protected] I will respond as soon as I see your email!
Source context: 0 downloads · 1 likes · Pipeline visual-question-answering · Repo xinyanghuang/Basic-Visual-Language-Model
